This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
The name of the project that is making the request.
The identifier of the model to use, eg rerank-v3.5
.
The search query
A list of texts that will be compared to the query
.
For optimal performance we recommend against sending more than 1,000 documents in a single request.
Note: long documents will automatically be truncated to the value of max_tokens_per_doc
.
Note: structured data should be formatted as YAML strings for best performance.
Limits the number of returned rerank results to the specified value. If not passed, all the rerank results will be returned.
Defaults to 4096
. Long documents will be automatically truncated to the specified number of tokens.
OK
An ordered list of ranked documents